Samuli Junttila

Orcid: 0000-0001-8276-9259

According to our database1, Samuli Junttila authored at least 12 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms.
CoRR, April, 2025

ADA-Net: Attention-Guided Domain Adaptation Network with Contrastive Learning for Standing Dead Tree Segmentation Using Aerial Imagery.
CoRR, April, 2025

Dual-Task Learning for Dead Tree Detection and Segmentation with Hybrid Self-Attention U-Nets in Aerial Imagery.
CoRR, March, 2025

2024
Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset.
CoRR, 2024

2023
Comparison of Deep Neural Networks in the Classification of Bark Beetle-Induced Spruce Damage Using UAS Images.
Remote. Sens., October, 2023

2022
Estimating Tree Health Decline Caused by Ips typographus L. from UAS RGB Images Using a Deep One-Stage Object Detection Neural Network.
Remote. Sens., December, 2022

Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season.
Remote. Sens., 2022

A Novel Method to Simultaneously Measure Leaf Gas Exchange and Water Content.
Remote. Sens., 2022

2021
Point clouds from terrestrial laser scanning from crowns of individual Scots pine trees.
Dataset, December, 2021

2020
Structural Changes in Boreal Forests Can Be Quantified Using Terrestrial Laser Scanning.
Remote. Sens., 2020

2017
Measuring Leaf Water Content with Dual-Wavelength Intensity Data from Terrestrial Laser Scanners.
Remote. Sens., 2017

2015
Investigating Bi-Temporal Hyperspectral Lidar Measurements from Declined Trees - Experiences from Laboratory Test.
Remote. Sens., 2015


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